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Sökning: WFRF:(Otto Albrecht) > (2020-2023)

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1.
  • Delios, A., et al. (författare)
  • Examining the generalizability of research findings from archival data
  • 2022
  • Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424 .- 1091-6490. ; 119:30
  • Tidskriftsartikel (refereegranskat)abstract
    • This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses for 29 original strategic management effects in the same context (direct reproduction) as well as in 52 novel time periods and geographies; 45% of the reproductions returned results matching the original reports together with 55% of tests in different spans of years and 40% of tests in novel geographies. Some original findings were associated with multiple new tests. Reproducibility was the best predictor of generalizability-for the findings that proved directly reproducible, 84% emerged in other available time periods and 57% emerged in other geographies. Overall, only limited empirical evidence emerged for context sensitivity. In a forecasting survey, independent scientists were able to anticipate which effects would find support in tests in new samples. 
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2.
  • Lu, Zhonghai, et al. (författare)
  • RUL Estimation for Power Electronic Devices Based on LESIT Equation
  • 2023
  • Ingår i: 2023 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE, PHM. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 47-54
  • Konferensbidrag (refereegranskat)abstract
    • The LESIT equation is a well-known model to estimate the lifetime of power electronic devices. However, the equation is a static lifetime model that can estimate the total lifetime but not the dynamic lifetime over time and the Remaining Useful Lifetime (RUL), because the equation is not related to time or cycle count. In the paper, we first introduce the concept of dynamic lifetime, i.e., lifetime over time, and include time into the equation to allow it to calculate dynamic lifetime, and then propose a simple equation to conduct the RUL estimation assuming linear damage accumulation. In our experiments using aggregated aging tests, we show that the proposed RUL estimation method can fully capture the general linear decreasing trend of RUL, and in most cases, it gives very accurate estimates, where the deviation depends on the accuracy of the original LESIT estimation.
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